Tools

Local FFmpeg video editing skill: ask in plain language to cut and join clips, remove silence, reframe to vertical, add subtitles, normalize loudness and export to TikTok, Reels or YouTube specs, fully offline with no API key. Needs ffmpeg and Python 3; also usable as an MCP.

Detects shot changes in video and splits long footage into scenes, exporting cut lists and per-scene thumbnails, useful for shot analysis, organizing footage and finding edit points. Runs locally; needs Python 3.10+, plus FFmpeg or mkvmerge for splitting.

LM Studio's official CLI: list, load and unload local models, start and stop the local API server, and check status and logs; ls, ps and other commands support --json output for scripts and agents. Requires the LM Studio desktop app.

Classic CLI for reading and writing metadata in hundreds of file types including images, video, audio and PDF, covering EXIF, GPS, IPTC, XMP and camera makers' proprietary tags, with batch editing, stripping and conversion. Requires Perl.

CLI and TypeScript runtime for discovering and calling MCP servers from the terminal and scripts: list tool signatures and call tools directly, or generate a standalone CLI or typed client from a server. Auto-imports existing MCP configs from Claude Code, Codex and others.

Draws bar charts, histograms, line charts, scatter plots and box plots in the terminal from CSV/TSV on stdin, so you can glance at data distributions at the end of a shell pipeline. The command is uplot.

17 social media skills from MarTech AI newsletter author Charlie Hills: build a voice profile from an interview and 3-5 past posts, then write LinkedIn posts, Reels scripts, hooks and content matrices, plus Gemini prompts for thumbnails and carousels. Some skills take optional Apify or Gemini keys.

Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team.

Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.

Teaches agents to write video prompts for ByteDance's Seedance 2.0: input limits, @ asset references and camera language, with templates for product ads, short dramas, dance, scenic clips, e-commerce and explainers, in English and Chinese. Prompts only; generate videos with your own account.

11 skills covering the full AI short-drama and motion-comic pipeline: source analysis, episode scripts, visual design, storyboards, image and video prompts, production, editing and review. Image and video generation needs paid API keys (e.g. Seedance, MiniMax); requires Python 3.9+ and ffmpeg.

Lets agents control DaVinci Resolve via its built-in scripting API: edit timelines, organize the media pool, color grade, work with Fusion and render. Requires DaVinci Resolve Studio; the free version works only up to 21.0.x through the in-app scripting bridge.

Hugging Face's official hf CLI: search, download and upload models and datasets, manage repos and storage buckets, and run jobs on Hugging Face's cloud. Output adapts automatically for agents, and hf skills add installs companion skills. Uploads and similar actions need a login.

NVIDIA's official, verified catalog of hundreds of skills covering CUDA-X libraries, NeMo training, NIM and Dynamo inference, RAG blueprints, Jetson, Omniverse and robotics simulation. The install adds only nvidia-skill-finder, which recommends other skills and installs them once you confirm.

NVIDIA's official plugin that finds and installs the right skills from NVIDIA's catalog for your task, spanning CUDA acceleration, NIM inference, NeMo training, RAG blueprints, Omniverse simulation and robotics. Listed in both the Claude and Codex official marketplaces.

Fast Rust toolkit for tabular data with nearly 80 subcommands for querying, stats, cleaning, validation, joins and format conversion on CSV and Excel. Also offers an MCP server and a Claude Cowork plugin.

Marketing and sales workflows open-sourced by Single Brain: expert-panel content scoring, cold email optimization, turning podcasts and long videos into shorts and social posts, YouTube competitor analysis, decks and financial scenarios, mostly with Python scripts. Some need Gemini or YouTube keys.

Removes AI tone from writing: fiction gets narrative structure fixed before discourse and wording, while release notes, postmortems, tickets, tech articles and long-form features each have their own rules. Modes: write, diagnose, minimal edit or full rewrite; also calibrated for Chinese.

Official Scenario skills: generate production-ready images, video, voiceover and music, textures and 3D assets through the Scenario MCP, for product shots, ads, storyboards and game art, plus expert skills for Blender, Maya and ZBrush. Needs a Scenario account (free tier available).

Two skills for FireRed's open-source conversational video editor OpenStoryline: the agent installs and launches it, then edits video from natural language, finding footage, writing script and voiceover, syncing music and revising. Needs Python 3.11+, ffmpeg (macOS/Linux/WSL) and LLM and vision keys.

Music source separation CLI that splits songs into vocals, drums, bass and other stems; --two-stems extracts just vocals and can output MP3. The official version maintained by the original author after leaving Meta; no new features are planned.

AWS's generally available agent toolkit and plugin marketplace: plugins such as aws-core, aws-agents and aws-data-analytics bundle the AWS MCP Server with evaluated skills for IaC, serverless, containers and billing. Calling AWS APIs requires configured credentials.

PostgreSQL MCP server with database health checks, index tuning, EXPLAIN plan analysis and hypothetical index simulation, plus safe read-only SQL execution in restricted mode.

MCP server from the opengeos GeoAI project: segment buildings, roads and vegetation in satellite imagery from text prompts, detect vehicles and ships, spot changes between images, estimate canopy height and fetch NAIP, Sentinel-2 and Landsat imagery. Install from the repo (Python 3.10+).